Literature DB >> 29587859

Characterization of tri and tetra-nucleotide microsatellite loci for the freshwater snails Promenetus exacuous (Planorbidae) and Valvata tricarinata (Valvatidae) and their utility in population genetic studies.

Patrick Yurco1, Devon B Keeney2.   

Abstract

OBJECTIVE: Promenetus exacuous and Valvata tricarinata are freshwater snail species with widespread distributions throughout North America. Information regarding their genetic diversity and population connectivity are currently lacking. We utilized next generation sequencing to develop the first microsatellites for each species to investigate genetic diversity within and differentiation among populations.
RESULTS: Sixteen and seventeen microsatellite loci were developed for P. exacuous and V. tricarinata, respectively, and tested in a total of 43 P. exacuous and 48 V. tricarinata from two lakes approximately 183 km apart in New York State, USA. Fifteen P. exacuous loci were polymorphic in at least one lake and possessed 1-23 alleles and observed heterozygosities of 0.00-0.96 within individual lakes. Seventeen polymorphic V. tricarinata loci possessed 2-19 alleles and observed heterozygosities of 0.04-0.96 within lakes. Bayesian clustering using 12 loci for each species identified two distinct genetic populations, reflecting the two lakes. High assignment scores for individual snails to the lakes they were collected from supported strong population structure with minimal admixture at the scale of this study. These loci will be useful for investigating the genetic diversity and population structure of these species and indicate genetic differentiation may be common among their populations.

Entities:  

Keywords:  Gastropod genetic diversity; Microsatellite loci; Population genetics; Promenetus exacuous; Valvata tricarinata

Mesh:

Year:  2018        PMID: 29587859      PMCID: PMC5870918          DOI: 10.1186/s13104-018-3301-1

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


Introduction

Despite their diversity, importance to ecosystems, and conservation concerns, basic taxonomic and biological information is lacking for many freshwater gastropods throughout North America [1, 2]. We report here the development of independent sets of 16 and 17 microsatellite loci for two understudied species of freshwater gastropods, Promenetus exacuous (Say, 1821) and Valvata tricarinata (Say, 1817). Microsatellites were developed for these particular species for future studies comparing their genetic connectivity throughout New York State based on the species’ disjunct and often sympatric populations throughout the region, their phylogenetic divergence and differing biological characteristics offering comparative insights into gastropod population connectivity throughout New York, and their current lack of genetic data and available microsatellite loci [3]. In addition, both species have widespread distributions throughout North America and secure global conservation status with localized areas of concern, potentially increasing the interest of these microsatellites to other researchers [4-6].

Main text

Materials and methods

Valvata tricarinata and P. exacuous were collected from Round Lake (43° 02′ 55.6″N, 75° 58′ 24.1″W) and Lake Saratoga (43° 03′ 12.6″N, 73° 43′ 11.8″W) using dip nets. Both lakes are in New York State and are approximately 183 km apart. To develop microsatellite loci, genomic DNA for next generation sequencing was extracted from the foot of a single V. tricarinata from Round Lake and a single P. exacuous from Lake Saratoga using a Qiagen Dneasy® Tissue kit. DNA was eluted with 75 µl H2O and quantified using a NanoDrop 2000 (Thermo Scientific). Approximately 3 µg of RNA-free genomic DNA from each species was sent to the University of Wisconsin-Madison Biotechnology Center for DNA fragmentation and sequencing. Next generation sequencing was performed using an ION Torrent PGM system with each species allocated approximately 25% of a 318 chip. Raw genomic data were converted to FASTA format using Geneious ver. 8.1 [7]. Microsatellite motifs were identified using msatcommander 1.0.8 [8]. Parameters were set to search for perfect tri- and tetranucleotide repeats with a minimum length of eight repeat units to decrease the potential for genotyping errors due to stuttering common with dinucleotide repeats, and increase the likelihood of polymorphism [9, 10]. Primer %GC was set to 35–65%, optimal annealing temperature was 60 °C, and one primer from each pair was designed to have a 5′ CAG tag (CAGTCGGGCGTCATCA) (Table 1). Default settings were used for the remaining parameters.
Table 1

Microsatellite loci developed for (a) Promenetus exacuous and (b) Valvata tricarinata

LocusRepeat motifPrimer sequence (5′–3′)LabelAllele range (bp)Round lakeLake Saratoga
nAHO/HEnAHO/HE
(a) Promenetus exacuous
 Pex216(AAC)11F: CAGTCGGGCGTCATCAACTTGGAATTGGCTGCCTCVIC239–2782440.50/0.531460.57/0.79
R: GCAAAGGCCGGATATTTCGATC
 Pex516(AACT)18F: CAGTCGGGCGTCATCACTGTCAGAAATACGCGGCTC6-FAM165–26124100.75/0.8619100.84/0.89
R: GGCGCGAAATGGACTAACTG
 Pex577(AAT)10F: GCTGTCTTTCATGGTTCCGG6-FAM243–2762310.00/0.001740.41/0.47
R: CAGTCGGGCGTCATCAAATGTGTCTGCAGGCGTAC
 Pex757(ACTC)11F: TGAGAGCCCTTAAGTCGTGG6-FAM169–1972430.46/0.511950.32/0.33
R: CAGTCGGGCGTCATCAGTCAGCTACGTGATCTTGGC
 Pex1009(AAC)12F: TTATTGCCACTCACGTACGCVIC305–3262410.00/0.001820.61/0.50
R: CAGTCGGGCGTCATCATTAACGGTTCTGGCTTCCAC
 Pex1877(AACT)10F: CAGTCGGGCGTCATCAGCTTTGGAGTATGCTTGCCNED244–2842480.79/0.8219110.84/0.86
R: CTAAGATTGGGAAGCCGCTG
 Pex2091(AGAT)16F: CAGTCGGGCGTCATCAGAGTGTTTCGGTGCCACAG6-FAM272–36824150.88/0.9118150.94/0.94
R: AAATAGTGCCGAATGTGCCG
 Pex2117(AACT)9F: CAGTCGGGCGTCATCAACCTGCAAGAAAGACCTGCVIC192–2082230.36*/0.63630.33/0.70
R: CCTTTCCACCACATCACAGG
 Pex2181(ACCT)11F: CAGTCGGGCGTCATCAATGTAAGTGCGTGTGTAGCCVIC86–1622420.17/0.221890.89/0.84
R: ACTTCGCGTTTGTAGGTAGG
 Pex2263(AAAG)15F: CAGTCGGGCGTCATCAGCATCCATATTTCAAAGCTGGGPET158–2262480.83/0.8219110.89/0.89
R: ACTGAAGTCCCTGAAGTGGC
 Pex2416(ACT)9F: CAGTCGGGCGTCATCATAGGGAGGCATACAAACGGAGNED3142410.00/0.001910.00/0.00
R: TTCGCTCAATACCCAGTGATC
 Pex2471(ACC)8F: AGGCAAACAGATGAGCTATGTCPET146–1702210.00/0.001850.56/0.68
R: CAGTCGGGCGTCATCATGGTACTGGGACTTCATGGC
 Pex2889(AAAG)8F: TACTGACTTGACGCCAATGCPET250–2622410.00/0.001840.50/0.51
R: CAGTCGGGCGTCATCAGTAGTCTAGGCCTTCGGTCC
 Pex2908(ACCT)17F: ACCTGCATGCCTAGCTACTGNED128–1842470.96/0.7919120.95/0.90
R: CAGTCGGGCGTCATCATGTCATAAATCCGGCACTGC
 Pex2958(AGAT)15F: CAGTCGGGCGTCATCACTGCTATGGACGTGAGGGAGPET248–38423130.95/0.9118230.94/0.97
R: TATTGATGGGCGGACGGATG
 Pex2972(AACT)12F: CAGTCGGGCGTCATCAGTCATCTACGCATGGGAAGCPET166–2262450.79/0.8018110.76/0.85
R: GGCTTAAACTGGGACGATGC
(b) Valvata tricarinata
 Vtr99(AATC)12F: CAGTCGGGCGTCATCACAGAGGTTCAAATCCCGGC6-FAM266–3182460.33/0.3424140.92/0.90
R: AGTTGATCATCCCGCCGTAG
 Vtr115(AGC)8F: CTTTGCCTCTTCCGGACATGNED127–1632480.58/0.732460.71/0.76
R: CAGTCGGGCGTCATCACCTTCATTCCACCTCAGCAG
 Vtr565(AAT)25F: ACGGACTACAGGTGAATACAAC6-FAM186–2702370.65/0.8523190.96/0.95
R: CAGTCGGGCGTCATCAGAAGTTCAATTTCGGCATGAG
 Vtr828(AAC)11F: CAGTCGGGCGTCATCATCTAGGGAAAGCGTGAGTGGVIC221–26324100.79/0.8124110.67/0.71
R: GCCCACTACAACAAGCGAAG
 Vtr835(ACT)10F: TGTCAGATCACTCTTGGGCGPET203–2242420.08/0.082450.42/0.59
R: CAGTCGGGCGTCATCAACAACCTAGTGTGCCCTTC
 Vtr972(AAG)14F: CTCGTTTCCTGGCTGTTGTCNED127–1692470.67/0.612470.67/0.76
R: CAGTCGGGCGTCATCATAGAGTCCAAGTGTGAGGCG
 Vtr980(AAG)12F: ACGCTAAGCTTTGTACAGTGCVIC248–2962480.63/0.752460.38/0.40
R: CAGTCGGGCGTCATCAGAGTACCATCAAAGACGGCG
 Vtr1099(ATC)10F: CAGTCGGGCGTCATCATTCAGTGCAGACATTCGGGVIC258–2792430.58/0.552450.46/0.52
R: CTGCAGCCTCGTGAATTGAC
 Vtr1279(AAT)10F: CAGTCGGGCGTCATCAGCGAAGACAGAAATCCTCC6-FAM141–3482480.67/0.7624130.75/0.81
R: ACAAATATATTTCGGTGCGCG
 Vtr1730(AAG)19F: CAGTCGGGCGTCATCATTGCTCCTTGGATTGGGATCVIC182–23624100.83/0.772490.58*/0.76
R: CAGCCCATTTCATCCTTGCC
 Vtr2328(AAG)10F: CCACAGGGCCAATAAATAACTGNED103–1182420.29/0.252230.45/0.59
R: CAGTCGGGCGTCATCATAGAGTCCAAGTGTGAGGCG
 Vtr2349(AAAC)14F: CAGTCGGGCGTCATCATGGGCACTGAAATCTCGTATGVIC324–3542440.29/0.271360.23*/0.79
R: CTTACGCCACTGCCACTAAC
 Vtr2388(AAT)25F: CAGGCCAAGATTCACACTGACPET190–2352490.75/0.802480.67/0.87
R: CAGTCGGGCGTCATCAGTAACCCAGTCCGTGCTCG
 Vtr2492(AAT)20F: CAGTCGGGCGTCATCATCTCTGCCAGCTTACCACTGNED227–31424140.83/0.9224100.67/0.84
R: GGACGTTGTGCTTCTATTCTCC
 Vtr2508(AAT)9F: CAGTCGGGCGTCATCATGTAGTGCCCATAGTCATGTACPET117–1322420.50/0.422020.20/0.39
R: ACGCGTTCTCTTTAATACCTGC
 Vtr4154(AAT)9F: CAGTCGGGCGTCATCACCTACAGATCAGAGACGTACACPET209–2212420.04/0.042440.63/0.56
R: TTGCAGATCAAGGTTGTCGC
 Vtr4287(AGC)8F: CAGTCGGGCGTCATCACCTTCATTCACCTCAGCAGCNED126–1622480.71/0.752450.75/0.75
R: CTTTGCCTCTTCCGGACATG

Locus name is followed by repeat motif of sequenced allele, primer sequences, fluorescent dye label, total size range of alleles, and site-specific number of amplified individuals (n), number of alleles (A), and observed (HO)/expected (HE) heterozygosities. The 5′ primer tag is underlined and varied based on the 5′ beginning of the primer sequence. * Indicates statistically significant deviation from expected heterozygosity. GenBank Accession Numbers: P. exacuous MH000452–MH000467, V. tricarinata MH000435–MH000451

Microsatellite loci developed for (a) Promenetus exacuous and (b) Valvata tricarinata Locus name is followed by repeat motif of sequenced allele, primer sequences, fluorescent dye label, total size range of alleles, and site-specific number of amplified individuals (n), number of alleles (A), and observed (HO)/expected (HE) heterozygosities. The 5′ primer tag is underlined and varied based on the 5′ beginning of the primer sequence. * Indicates statistically significant deviation from expected heterozygosity. GenBank Accession Numbers: P. exacuous MH000452–MH000467, V. tricarinata MH000435–MH000451 DNA was extracted from 24 V. tricarinata snails from each lake and 24 and 19 P. exacuous from Round Lake and Lake Saratoga, respectively. For each DNA extraction, the foot was removed and transferred to 400 µl of 5% Chelex containing 0.1 mg/ml proteinase K. The solution was incubated for approximately 8 h at 60 °C followed by eight minutes at 95 °C. DNA was utilized directly from these extractions. Microsatellite loci were amplified using three primer polymerase chain reactions (PCRs) [11] on individual loci with the Qiagen Type-it Microsatellite Kit. Each 10 µl reaction included 1X Type-it Multiplex PCR (Qiagen) reaction mix, 0.2 µM standard locus primer, 0.02 µM locus primer with CAG tag sequence, and 0.2 µM fluorescent-labeled CAG tag (PET, NED, 6-FAM, or VIC). The parameters of the PCRs were 5 min heat activation at 95 °C followed by 30 cycles of denaturation at 95 °C for 30 s, annealing for 90 s, and an extension at 72 °C for 30 s. The 30 cycles were followed by a final extension of 30 min at 60 °C. An initial round of PCRs was performed with a gradient of annealing temperatures ranging from 50 to 70 °C to determine optimal annealing temperatures. All optimized loci utilized an annealing temperature of 60 °C, except Pex1877 and Pex2263 (56 °C), and Pex 216 (53 °C). Genotypes were determined on an ABI 3730 × 1 96-capillary Genetic Analyzer at the DNA Analysis Facility at Yale University. PCR products from up to four loci utilizing different fluorescent dyes were combined in each well prior to submission. Alleles were scored using Geneious ver. 8.1 [7]. MICRO-CHECKER ver. 2.2 [12] was used to identify potential scoring errors from stuttering, large allele dropout, and/or the presence of null alleles. Alleles were analyzed for deviations from Hardy–Weinberg expectations within sites and overall linkage disequilibrium using Genepop on the Web [13, 14]. Significance tests with multiple comparisons used an adjusted critical value based on the B-Y False Discovery Rate (FDR) [15]. STRUCTURE ver. 2.4.3 [16] was used to determine if loci could infer population differentiation by using genotypes to assign individuals to genetic clusters and estimate the actual number of genetic populations using a Bayesian approach. A highly conservative subset of twelve loci for each species that did not display deviations from Hardy–Weinberg expectations in either site, did not include loci displaying linkage with each other, and that failed to amplify in no more than two snails in either population (P. exacuous: Pex577, Pex757, Pex1009, Pex1877, Pex2091, Pex2181, Pex2263, Pex2471, Pex2889, Pex2908, Pex2958, and Pex2972; V. tricarinata: Vtr99, Vtr565, Vtr828, Vtr835, Vtr980, Vtr1099, Vtr1279, Vtr2328, Vtr2388, Vtr2492, Vtr4154, and Vtr4287) were used for STRUCTURE analyses. STRUCTURE runs used an admixture model with five iterations, a burnin length of 100,000 and 100,000 steps in the Monte Carlo Markov Chain (MCMC). Separate runs for each species utilized LnPD as the selection criterion and the number of genetic populations (K) was allowed to range from 1 to 6.

Results and discussion

Fifteen polymorphic P. exacuous loci possessed 1–23 alleles and observed heterozygosities ranged from 0.00 to 0.96 within individual lakes (Table 1). One locus deviated from Hardy–Weinberg expectations in Round Lake (Pex2117), potentially from null alleles and/or stuttering issues. Null alleles may also be present in Pex216 and Pex2117 in Lake Saratoga, with low amplification success likely prohibiting statistical significance. An additional sixteenth locus (Pex2416) was monomorphic in both populations, but is reported here as it may be polymorphic in other populations as observed between populations with several similar loci in the present study. Linkage disequilibrium was not detected between any pair of P. exacuous loci. Seventeen polymorphic V. tricarinata loci possessed 2–19 alleles and observed heterozygosities of 0.04–0.96 within lakes (Table 1). Two loci deviated from Hardy–Weinberg expectations in Lake Saratoga (Vtr1730 and Vtr2349), potentially due to null alleles. Null alleles may also be present in Vtr2508 in Lake Saratoga. Linkage disequilibrium was detected among Vtr115, Vtr972, and Vtr4287. STRUCTURE results for both species supported two genetic populations (K = 2), reflecting the two sample locations (Fig. 1). All snails were assigned to the population they were sampled from with a high probability (97–100% for all snails except a single V. tricarinata from Lake Saratoga with 92%), revealing minimal admixture between these populations for both species (Fig. 1). The high assignment values reveal that these loci will be suitable for identifying gene flow patterns among populations experiencing varying levels of admixture. Multiple genetic groups were not detected within sites.
Fig. 1

Results of STRUCTURE cluster membership analyses for a Promenetus exacuous and b Valvata tricarinata for K = 2. Vertical bars represent proportion of membership of individual snails for two genetic clusters (gray = Round Lake, black = Lake Saratoga). Labels below graphs indicate original sample sites

Results of STRUCTURE cluster membership analyses for a Promenetus exacuous and b Valvata tricarinata for K = 2. Vertical bars represent proportion of membership of individual snails for two genetic clusters (gray = Round Lake, black = Lake Saratoga). Labels below graphs indicate original sample sites The development of microsatellites in these two understudied, distantly related species will enable researchers to examine the factors impacting the genetic diversity within and population structure among their populations, and gain additional insights into the biology, evolution, and conservation of freshwater gastropods. While our interests are primarily the dispersal and connectivity of these species throughout New York State and surrounding areas, these microsatellites may be used by other labs to address diverse questions in other regions. For example, although both species are globally secure, there are conservation concerns for specific populations throughout their range [4-6], and these markers may aid in conservation efforts. In addition, direct comparison of gastropods from different families over large geographic areas may reveal broad evolutionary dispersal patterns.

Limitations

Due the potential for variation in regions flanking microsatellite loci and the relatively widespread distribution of both species, some of these loci may not amplify in populations throughout their range.
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